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Search results for: HIERARCHICAL CONVOLUTIONAL NEURAL NETWORKS
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Deep Learning Basics 2023/24
e-Learning CoursesA course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.
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Deep neural networks for data analysis
e-Learning CoursesThe aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...
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Theory of urbanism IV
e-Learning CoursesThe aim of the course is to familiarize the student with the complexity of the process of functioning and development of cities, including: - hierarchical spatial (morphology) and functional structure of cities on models (the hierarchy of services and public spaces) - networks and systems that make up the city (environmental system, technical and social infrastructure) - role and importance of the district in the structure of...
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Theory of Urban Design
e-Learning CoursesThe aim of the course is to understand the complexity of the process of functioning and development of cities, including: -city hierarchical spatial models (morphology) and functional structure on models (the hierarchy of services and public spaces) -networks and systems that make up the city (environmental system, technical and social infrastructure) -role and importance of the district/neighbourhood in the structure of the...